Что думаешь? Оцени!
JEPA-v0 matches baseline models when it comes to spotting fake audio. It scored 0.927, while Whisper scored 0.946 and Mimi scored 0.962. This task checks if a human throat and mouth actually made the sound. The encoder spends a lot of its processing power on speaker details like the shape of the vocal tract, the pitch, and specific spectral data. The model currently struggles when it has to attach meaning to those sounds. For example, in general captioning, it scored 0.478 compared to Whisper’s 0.625 and Mimi’s 0.583, and in speech recognition it scored 0.000 compared to Whisper’s 0.375 and Mimi’s 0.637.
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While all statements of Logical Foundations are likely in the training data, proving that a translation is correct is a different task than proving the original statement. ↩︎，更多细节参见手游
«Сейчас резкое потепление пошло, клещи будут просыпаться. И зимой можно найти клеща, но это не системная тема», — отметил академик РАН, заместитель президента Российской академии образования Геннадий Онищенко.